Detecting Potential Violent Behavior Using Deep Learning – Dalton Chukwuezugo Owoh
Dalton Chukwuezugo Owoh
Master's thesis
Detecting Potential Violent Behavior Using Deep Learning
Detecting Potential Violent Behavior Using Deep Learning
Abstract:
In this master's thesis, four deep learning models - DenseNet-121, Inception-v3, ResNet50, and VGG-16 were implemented to detect potential violent behavior by applying transfer learning principles. In the theoretical part, a comprehensive review of literature in the field of human violence detection was conducted to identify prevalent strengths and gaps in existing research work. The results of the …moreAbstract:
In this master's thesis, four deep learning models - DenseNet-121, Inception-v3, ResNet50, and VGG-16 were implemented to detect potential violent behavior by applying transfer learning principles. In the theoretical part, a comprehensive review of literature in the field of human violence detection was conducted to identify prevalent strengths and gaps in existing research work. The results of the …more
Language used: English
Date on which the thesis was submitted / produced: 13. 5. 2024
Thesis defence
Citation record
ISO 690-compliant citation record:
OWOH, Dalton Chukwuezugo. \textit{Detecting Potential Violent Behavior Using Deep Learning}. Online. Master's thesis. Zlín: Tomas Bata University in Zlín, Faculty of Applied Informatics. 2024. Available from: https://theses.cz/id/gld28v/.
The right form of listing the thesis as a source quoted
Owoh, Dalton Chukwuezugo. Detecting Potential Violent Behavior Using Deep Learning. Zlín, 2024. diplomová práce (Ing.). Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
Full text of thesis
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Institution archiving the thesis and making it accessible: Univerzita Tomáše Bati ve Zlíně, Fakulta aplikované informatikyPlny text prace je k dispozici v elektronicke podobe
Tomas Bata University in Zlín
Faculty of Applied InformaticsMaster programme / field:
Information Technologies / Software Engineering
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